MtoZ Biolabs - Model cholesterol-ester-analysis -Cholesteryl Ester Analysis Service

Cholesteryl esters derived from cholesterol, are dietary lipids. They form when enzymes in the human body metabolize cholesterol with an ester bond between the carboxyl group of fatty acids and the hydroxyl group of cholesterol. Cholesteryl esters are extensively found in animal body fluids (plasma lipoproteins) and can also appear as fatty streaks in blood vessel walls, contributing to atherosclerosis. Their strong hydrophobic nature results in low solubility in water.

MtoZ Biolabs utilizes mass spectrometry to analyze cholesteryl esters, offering molecular species data based on associated fatty acids. We recommend conducting semi-quantitative cholesteryl ester profiling for direct sample or treatment comparisons. Additionally, we can perform quantitative analysis of cholesteryl esters using established standards upon request.

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MtoZ Biolabs is an integrate contract research organization (CRO) providing advanced proteomics, metabolomics, bioinformatics, and biopharmaceutical analysis services to researchers in biochemistry, biotechnology, and biopharmaceutical fields. The name of MtoZ represents “mass to charge ratio” in mass spectrometry analysis, as most of our services are provided based on our well-established mass spectrometry platforms. Our services allow for the rapid and efficient development of research projects, including protein analysis, proteomics, and metabolomics programs.

MtoZ Biolabs is specialized in quantitative multiplexed proteomics and metabolomics applications through the establishment of state-of-the-art mass spectrometry platforms, coupled with high-performance liquid chromatography technology. We are committed to developing efficient, and effective tools for addressing core bioinformatics problems. With a continuing focus on quality, MtoZ Biolabs is well equipped to help you with your needs in proteomics, metabolomics, bioinformatics, and biopharmaceutical research. Our ultimate aim is to provide more rapid, high-throughput, and cost-effective analysis, with exceptional data quality and minimal sample.

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